Improving the Efficiency of Budgeting in Industrial Enterprise: The case of Russia, Italy, and the Middle East

Amjed Hameed Majeed, Mikhail Kosov, Raffaele Fiume, Nikolay Kuznetsov, Margarita Vasyunina, Alexander Semin

Abstract


The study improved budgeting efficiency at industrial enterprises with evidence from Russia, Italy, and the Middle East. In the era of contemporary globalization and technological advancement, a budgeting system holds paramount significance in the effective management of the financial operations and activities, enhancing the overall efficiency of the firm's cash management, mitigating the risk of finance misallocation, and improving the overall financial performance of the enterprise. However, despite its effectiveness, there is a lack of evidence supporting budgeting automation and its efficiency in managing industrial enterprises. More so, limited theoretical and practical relevance is found in the context of Russia, Italy, and the Middle East. This research intended to fill the existing research gap where a qualitative research design was opted. Primary data were collected from the budgeting heads of 3 pharmaceutical firms, each located in Russia, Italy, and Iran. In-depth interviews with 3 budgeting heads identified that the conventional incremental budgeting system needed amendment and replacement with a consolidated and contemporary yet flexible approach to bring radical improvements at the macro-environment level within the industrial enterprise. The key findings led to the development of a model to improve budgeting efficiency, comprising three components: information and analytical/accounting support for budgeting, production accounting information, and a combination of the regulated operation prices. The consolidation of these three components can yield budgeting efficiency.

 

Doi: 10.28991/ESJ-2023-07-01-013

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Keywords


Budgeting; Industrial Enterprise; Budgeting Model; Russia; Italy; Middle East.

References


Owusu Kwateng, K., Amanor, C., & Tetteh, F. K. (2022). Enterprise risk management and information technology security in the financial sector. Information and Computer Security, 30(3), 422–451. doi:10.1108/ICS-11-2020-0185.

Zinovyeva, E., Kuznetsova, M., Kostina, N., Vasilyeva, A. (2022). Reducing the International Risks of Russian Industrial Companies Based on the Transfer to the IBM Planning Analytics Platform. In: Gibadullin, A. (eds). Digital and Information Technologies in Economics and Management. DITEM 2021. Lecture Notes in Networks and Systems, Vol. 432. Springer, Cham, Switzerland. doi:10.1007/978-3-030-97730-6_3.

Alsharari, N. M. (2022). Institutionalization of results-based budgeting in the public sector: political and economic pressures. Asian Review of Accounting, 30(3), 352–377. doi:10.1108/ARA-02-2022-0037.

Navia-Vázquez, A., Díaz-Morales, R., & Fernández-Díaz, M. (2022). Budget Distributed Support Vector Machine for Non-ID Federated Learning Scenarios. ACM Transactions on Intelligent Systems and Technology, 13(6), 1–25. doi:10.1145/3539734.

Ikromovich, E. I., & Rasuljon, S. (2022). Improvement of Financial Management in Agro Business Enterprises. European Journal of Business Startups and Open Society, 2(4), 33–38.

Abed, I. A., Hussin, N., Ali, M. A., Haddad, H., Shehadeh, M., & Hasan, E. F. (2022). Creative Accounting Determinants and Financial Reporting Quality: Systematic Literature Review. Risks, 10(4), 76. doi:10.3390/risks10040076.

Nuhu, N. A., Baird, K., & Su, S. (2022). The association between the interactive and diagnostic use of financial and non-financial performance measures with individual creativity: The mediating role of perceived fairness. Journal of Management Control, 1–32. doi:10.1007/s00187-022-00339-6.

Nechaev, A. S., Zakharov, S. V., Barykina, Y. N., Vel’m, M. V., & Kuznetsova, O. N. (2022). Forming methodologies to improving the efficiency of innovative companies based on leasing tools. Journal of Sustainable Finance & Investment, 12(2), 536–553. doi:10.1080/20430795.2020.1784681.

Tuan, V. K., & Rajagopal, P. (2022). The mediating effect of the budget process on the performance of small-and medium-sized enterprises in Ho Chi Minh City, Vietnam. Journal of Entrepreneurship, Management and Innovation, 18(1), 65–92. doi:10.7341/20221813.

Nasri, H., Nurman, N., Azwirman, A., Zainal, Z., & Riauan, I. (2022). Implementation of collaboration planning and budget performance information for special allocation fund in budget planning in the regional development planning agency of Rokan Hilir regency. International Journal of Health Sciences, 6(S4), 639–651. doi:10.53730/ijhs.v6ns4.5597.

Faizal, S. I., Din, M., Mustamin, Kahar, A., Masdar, R., & Masruddin. (2022). The Effect of Participation in Budgeting on Managerial Performance with Locus of Control and Job Relevant Information as Moderating Variables in PT. PLN (PERSERO) UP3 Palu. Advances in Economics, Business and Management Research. doi:10.2991/aebmr.k.220104.006.

Valle-Cruz, D., Fernández-Cortez, V., & Gil-Garcia, J. R. (2022). From E-budgeting to smart budgeting: Exploring the potential of artificial intelligence in government decision-making for resource allocation. Government Information Quarterly, 39(2022), 101644. doi:10.1016/j.giq.2021.101644.

Ren, S. (2022). Optimization of enterprise financial management and decision-making systems based on big data. Journal of Mathematics, 39(2), 101644. doi:10.1016/j.giq.2021.101644.

Kotrikadze, K., & Khuchua, T. ERP system as business automation software and information system reengineering. Modern Problems in Science, Proceedings of the XIX International Scientific and Practical Conference, 17-20 May, 2022, Vancouver, Canada.

Appelbaum, D., Kogan, A., Vasarhelyi, M., & Yan, Z. (2017). Impact of business analytics and enterprise systems on managerial accounting. International Journal of Accounting Information Systems, 25, 29–44. https://doi.org/10.1016/j.accinf.2017.03.003.

Kommunuri, J. (2022). Artificial intelligence and the changing landscape of accounting: a viewpoint. Pacific Accounting Review, 34(4), 585–594. doi:10.1108/par-06-2021-0107.

Gao, J. (2022). Research on the corporate financial transformation with big data technologies. International Journal of Progressive Sciences and Technologies, 32(2), 8-12.

Saunders, M. N., Lewis, P., & Thornhill, A. (2019). Research Methods for Business Students (8th ed.). Harlow: Pearson Education Limited, New York City, United States.

Franzosi, R. (2010). Quantitative narrative analysis. Quantitative Applications in the Social Sciences. SAGE Publications, Inc. doi:10.4135/9781412993883.

Starman, A. B. (2013). The case study as a type of qualitative research. Journal of Contemporary Educational Studies/Sodobna Pedagogika, 64(1), 28-43.

Braun, V., & Clarke, V. (2012). Thematic analysis. APA handbook of research methods in psychology, Vol. 2. Research designs: Quantitative, qualitative, neuropsychological, and biological, 57–71. American Psychological Association, Washington, United States. doi:10.1037/13620-004.

Mak, Y. T., & Roush, M. L. (1994). Flexible budgeting and variance analysis in an activity-based costing environment. Accounting Horizons, 8(2), 93-103.

Larionova, I. A., Gaziyeva, L. R., & Pyrkova, A.O. (2015). Flexible Budgeting as Instrument of Management Industrial Enterprise. Economy in the Industry, 1, 65. doi:10.17073/2072-1633-2014-1-65-68.

Simakov, K., & Chernyshova, S. (2020). Improving the Management Accounting System through Strategic Budgeting in an Industrial Enterprise. Economic Herald of the Donbas, 4(62), 78–84. doi:10.12958/1817-3772-2020-4(62)-78-84.

Shvetz, V., & Mykhalska, O. (2013). Flexible Budgets in the System of Analysis of the Production Costs Budgeting at Oil and Fat Enterprises. Bulletin of the Taras Shevchenko National University of Kyiv Economics, 153, 112–119. doi:10.17721/1728-2667.2013/153-12/25.

Bogdănoiu, C. (2013). Budgeted Production Costs–A Necessity in Dairy Industry Enterprises. Revista Tinerilor Economişti, 20, 108-116.

Wang, C. (2017). A Brief Discussion on the Comprehensive Budget of Industrial Enterprises. Journal of Finance Research, 1(1), 45-51. doi:10.26549/jfr.v1i1.603.

Iurieva, L. V., Sinianskaia, E. R., & Savostina, O. V. (2020). Improvement of the Operational Budgeting Model at the Industrial Enterprise. Smart Innovation, Systems and Technologies, 172, 235–241. doi:10.1007/978-981-15-2244-4_21.

Kosov, M. E., Eremin, V. V., Pobyvaev, S. A., & Gaibov, T. S. O. (2022). Applying the Investment Multiplier to Identify Key Points of Economic Growth. Emerging Science Journal, 6(2), 273–285. doi:10.28991/ESJ-2022-06-02-05.

Karaev, A. K., Gorlova, O. S., Sedova, M. L., Ponkratov, V. V., Shmigol, N. S., & Demidova, S. E. (2022). Improving the Accuracy of Forecasting the TSA Daily Budgetary Fund Balance Based on Wavelet Packet Transforms. Journal of Open Innovation: Technology, Market, and Complexity, 8(3), 107. doi:10.3390/joitmc8030107.

Kosov, M. E., Akhmadeev, R. G., Smirnov, D. A., Solyannikova, S. P., & Rycova, I. N. (2018). Energy industry: Effectiveness from innovations. International Journal of Energy Economics and Policy, 8(4), 83–89.


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DOI: 10.28991/ESJ-2023-07-01-013

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